writing-tests
Writes behavior-focused tests using Testing Trophy model with real dependencies. Use when writing tests, choosing test types, or avoiding anti-patterns like testing mocks.
What this skill does
# Writing Tests **Core principle:** Test user-observable behavior with real dependencies. Tests should survive refactoring. > "The more your tests resemble the way your software is used, the more confidence they can give you." — Kent C. Dodds **Why this matters:** Tests exist to give you confidence. The Testing Trophy prioritizes integration tests because they test real behavior across real modules — giving maximum confidence per test written. Unit tests in isolation often just test mocks, not your actual system. ## Testing Trophy Model | Priority | Type | When | | -------- | ----------- | ----------------------------------------------- | | 1st | Integration | Default - multiple units with real dependencies | | 2nd | E2E | Complete user workflows | | 3rd | Unit | Pure functions only (no dependencies) | ## Mocking Guidelines **Default: Don't mock. Use real dependencies.** **Only mock:** - External HTTP/API calls - Time/randomness - Third-party services (payments, email) **Never mock:** - Internal modules - Database queries (use test DB) - Business logic - Your own code calling your own code **Before mocking, ask:** "What side effects does this have? Does my test need those?" If unsure, run with real implementation first, then add minimal mocking only where needed. ## Test Type Decision ``` Complete user workflow? → E2E test Pure function (no side effects)? → Unit test Everything else → Integration test ``` ## Assertion Strategy | Context | Assert On | Avoid | | ------- | --------------------- | --------------------------- | | UI | Visible text, roles | CSS classes, internal state | | API | Response body, status | Internal DB state | | Library | Return values | Private methods | ## Anti-Patterns | Pattern | Fix | | ------------------------------- | --------------------------- | | Testing mock calls | Test actual outcome | | Test-only methods in production | Move to test utilities | | `sleep(500)` | Use condition-based waiting | | Asserting on internal state | Assert on observable output | | Incomplete mocks | Mirror real API completely | ## Quality Checklist - [ ] Happy path covered - [ ] Error conditions handled - [ ] Real dependencies used (minimal mocking) - [ ] Tests survive refactoring - [ ] Test names describe behavior ## Language-Specific Patterns - **JavaScript/Typescript/React**: See [references/typescript-react.md](references/typescript-react.md) - **Python**: See [references/python.md](references/python.md) - **Go**: See [references/go.md](references/go.md) For flaky tests with timing issues, use `Skill(ce:condition-based-waiting)`. --- **Remember:** Behavior over implementation. Real over mocked. Outputs over internals.
Related in Writing & Docs
jax-development
IncludedUse this skill when the user is writing, debugging, profiling, refactoring, reviewing, benchmarking, parallelising, exporting, or explaining JAX code, or when they mention JAX, jax.numpy, jit, grad, value_and_grad, vmap, scan, lax, random keys, pytrees, jax.Array, sharding, Mesh, PartitionSpec, NamedSharding, pmap, shard_map, Pallas, XLA, StableHLO, checkify, profiler, or the JAX repo. It helps turn NumPy or PyTorch-style code into pure functional JAX, fix tracer/control-flow/shape/PRNG bugs, remove recompiles and host-device syncs, choose transforms and sharding strategies, inspect jaxpr/lowering/IR, and benchmark compiled code correctly.
nature-article-writer
IncludedDrafts, rewrites, diagnostically critiques, and style-calibrates primary research manuscripts for Nature and Nature Portfolio journals. Use when the user wants a Nature-style title, summary paragraph or abstract, introduction, results, discussion, methods, figure legends, presubmission enquiry, cover letter, reviewer response, or when a scientific draft sounds generic, jargon-heavy, structurally weak, or AI-ish and needs precise, broad-reader-friendly prose without inventing data, analyses, or references. Best for primary research articles and letters rather than reviews or press releases unless explicitly adapting one.
deckrd
IncludedDocument-driven framework that derives requirements, specifications, implementation plans, and executable tasks from goals through structured AI dialogue. Use when user says "write requirements", "create spec", "plan implementation", "derive tasks", "structure this feature", "break down into tasks", or "document this module". Also use for reverse engineering existing code into docs (/deckrd rev). Do NOT use for direct code writing — use /deckrd-coder after tasks are generated. Do NOT use when the user only wants to run or fix existing code without planning.
clinical-decision-support
IncludedGenerate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
handling-sf-data
IncludedSalesforce data operations with 130-point scoring. Use this skill to create, update, delete, bulk import/export, generate test data, and clean up org records using sf CLI and anonymous Apex. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, needs data factory patterns for Apex tests, or needs to seed/clean records in a Salesforce org. DO NOT TRIGGER when: SOQL query writing only (use querying-soql), Apex test execution (use running-apex-tests), or metadata deployment (use deploying-metadata).
accelint-ac-to-playwright
IncludedConvert and validate acceptance criteria for Playwright test automation. Use when user asks to (1) review/evaluate/check if AC are ready for automation, (2) assess if AC can be converted as-is, (3) validate AC quality for Playwright, (4) turn AC into tests, (5) generate tests from acceptance criteria, (6) convert .md bullets or .feature Gherkin files to Playwright specs, (7) create test automation from requirements. Handles both bullet-style markdown and Gherkin syntax with JSON test plan generation and validation.